期刊
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
卷 6, 期 2, 页码 346-359出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2011.2114345
关键词
Fingerprint matching; fingerprint separation; latent fingerprints; orientation field; overlapped fingerprints; relaxation labeling; singularity
资金
- National 863 Hi-Tech Development Program of China [2008AA01Z123]
- National Natural Science Foundation of China [60805017, 61005023, 61021063, 61020106004]
- Ministry of Education, Science and Technology through the National Research Foundation of Korea [R31-10008]
Fingerprint images generally contain either a single fingerprint (e.g., rolled images) or a set of nonoverlapped fingerprints (e.g., slap fingerprints). However, there are situations where several fingerprints overlap on top of each other. Such situations are frequently encountered when latent (partial) fingerprints are lifted from crime scenes or residue fingerprints are left on fingerprint sensors. Overlapped fingerprints constitute a serious challenge to existing fingerprint recognition algorithms, since these algorithms are designed under the assumption that fingerprints have been properly segmented. In this paper, a novel algorithm is proposed to separate overlapped fingerprints into component or individual fingerprints. The basic idea is to first estimate the orientation field of the given image with overlapped fingerprints and then separate it into component orientation fields using a relaxation labeling technique. We also propose an algorithm to utilize fingerprint singularity information to further improve the separation performance. Experimental results indicate that the algorithm leads to good separation of overlapped fingerprints that leads to a significant improvement in the matching accuracy.
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